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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.func @outfeed_enqueue_tuple(%data_1: tensor<3xi32>, %data_2: tensor<4xf32>) -> () { // CHECK: [[TOKEN:%.*]] = mhlo.create_token : !mhlo.token // CHECK: "mhlo.outfeed"([[VAL_0]], [[VAL_1]], [[TOKEN]]) <{outfeed_config = ""}> : (tensor<3xi32>, tensor<4xf32>, !mhlo.token) -> !mhlo.token "tf.OutfeedEnqueueTuple"(%data_1, %data_2) : (tensor<3xi32>, tensor<4xf32>) -> () func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
// // Assume segment ids' shape is [SI0, SI1, ..., SIm] and data's shape is // [D0, D1, ..., Dn]. Note that segment ids' shape must be a prefix of data's // shape, so we can have data's shape represented as [SI0, SI1, ..., SIm, // Dm+1, ..., Dn]. Then // output[segment_ids[SI_i0, SI_i1, ..., SI_im], D_im+1, ..., D_in] = // <ReductionOp> over data[SI_i0, SI_i1, ..., SI_im, D_im+1, ..., D_in]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0)